Senior Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer on a 6-month FTC, offering £90,000 – £110,000. Requires active SC Clearance, strong Python skills, experience with ML frameworks (PyTorch, TensorFlow), cloud platforms, and containers. Hybrid UK-based work with client-site travel.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Containers #ML (Machine Learning) #Python #PyTorch #AI (Artificial Intelligence) #Kubernetes #Data Science #Scala #TensorFlow #Docker #Cloud #Statistics #Azure #AWS (Amazon Web Services) #Deployment #GCP (Google Cloud Platform)
Role description
Machine Learning Engineer – 6-Month FTC £90,000 – £110,000 UK-wide (Hybrid: London client-site) Our client is a leading AI consultancy and software company delivering impactful, human-centric AI solutions to government, industry, and global organisations. With a proven track record across critical national projects, they combine deep technical expertise with a pragmatic approach to solving complex, high-stakes problems. They are now seeking a Machine Learning Engineer to join their London Government team on a 6-month fixed-term contract. This role offers the opportunity to design, build, and deploy production-grade ML systems that have a direct impact on government services and policy delivery. What you’ll be doing • Designing and delivering software, infrastructure, and MLOps systems that bring ML models into real-world use. • Collaborating in cross-functional teams with engineers, data scientists, product managers, and designers. • Creating scalable, reusable tools that improve ML deployment and operationalisation. • Leading on technical design and delivery of government-focused projects. • Providing technical expertise to stakeholders and mentoring less experienced engineers. • Developing and embedding best practices for managing ML in production. What we’re looking for • Active SC Clearance • Strong software engineering background with proficiency in Python. • Experience deploying ML models built with frameworks such as PyTorch, TensorFlow, or Scikit-learn. • Knowledge of probability, statistics, and common ML techniques. • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). • Proficiency with containers, Docker, and Kubernetes. • Strong communication skills with the ability to work across technical and non-technical teams. • Comfortable working in a high-growth, fast-paced environment. Travel & Location • Open to applicants from anywhere in the UK. • Expectation to travel to London client site up to 3 days per week (worst case), with the remainder of time split between remote and office-based working. Why join • Work on government AI projects that have real-world policy and citizen impact. • Competitive fixed-term salary: £90,000 – £110,000 (pro rata). • Hybrid working with flexibility across UK locations. • Opportunity to shape and deliver applied AI systems at scale. • Be part of a high-calibre team with exposure to cutting-edge thinking in AI engineering. This is a role for someone who wants to move beyond experimentation and bring machine learning into live production systems where it makes a measurable difference to public services. If you have the technical capability, the clearance, and the drive to deliver meaningful outcomes, this is a chance to contribute to projects that matter while working alongside some of the most skilled practitioners in applied AI.